Jennifer M. Wenzel

932 total citations
27 papers, 693 citations indexed

About

Jennifer M. Wenzel is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Jennifer M. Wenzel has authored 27 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Jennifer M. Wenzel's work include Neurotransmitter Receptor Influence on Behavior (18 papers), Memory and Neural Mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Jennifer M. Wenzel is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (18 papers), Memory and Neural Mechanisms (9 papers) and Neuroscience and Neuropharmacology Research (8 papers). Jennifer M. Wenzel collaborates with scholars based in United States, Germany and United Kingdom. Jennifer M. Wenzel's co-authors include Joseph F. Cheer, Erik B. Oleson, Aaron Ettenberg, Dan P. Covey, Zu‐In Su, Dieter Kabelitz, Ralf Sanzenbacher, Kerisa Shelton, Ottmar Janßen and Michael Ristow and has published in prestigious journals such as Journal of Neuroscience, Current Biology and Brain Research.

In The Last Decade

Jennifer M. Wenzel

26 papers receiving 686 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jennifer M. Wenzel United States 12 362 208 198 186 101 27 693
Eva Drews Germany 14 225 0.6× 152 0.7× 184 0.9× 121 0.7× 73 0.7× 18 616
Constanza García‐Keller United States 18 552 1.5× 158 0.8× 108 0.5× 258 1.4× 93 0.9× 35 827
Csaba Ádori Hungary 21 274 0.8× 207 1.0× 76 0.4× 265 1.4× 112 1.1× 42 858
Alice Borella United States 8 320 0.9× 162 0.8× 115 0.6× 173 0.9× 48 0.5× 9 651
Pernilla Grillner Sweden 15 630 1.7× 157 0.8× 96 0.5× 371 2.0× 70 0.7× 23 880
Mireille Daigle Canada 18 346 1.0× 153 0.7× 78 0.4× 512 2.8× 116 1.1× 24 1000
Daniel F. Manvich United States 13 387 1.1× 136 0.7× 60 0.3× 183 1.0× 73 0.7× 20 579
Hongshi Qi Sweden 10 363 1.0× 122 0.6× 129 0.7× 243 1.3× 53 0.5× 10 713
Oliver H Miller United States 6 376 1.0× 116 0.6× 308 1.6× 97 0.5× 59 0.6× 6 669
Laurent Tritschler France 14 345 1.0× 110 0.5× 183 0.9× 237 1.3× 84 0.8× 26 783

Countries citing papers authored by Jennifer M. Wenzel

Since Specialization
Citations

This map shows the geographic impact of Jennifer M. Wenzel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jennifer M. Wenzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer M. Wenzel more than expected).

Fields of papers citing papers by Jennifer M. Wenzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Wenzel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jennifer M. Wenzel. The network helps show where Jennifer M. Wenzel may publish in the future.

Co-authorship network of co-authors of Jennifer M. Wenzel

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer M. Wenzel. A scholar is included among the top collaborators of Jennifer M. Wenzel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jennifer M. Wenzel. Jennifer M. Wenzel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Luján, Miguel Á., et al.. (2023). A multivariate regressor of patterned dopamine release predicts relapse to cocaine. Cell Reports. 42(6). 112553–112553. 8 indexed citations
2.
Wenzel, Jennifer M., Natalie E. Zlebnik, Mary H. Patton, et al.. (2023). Selective chemogenetic inactivation of corticoaccumbal projections disrupts trait choice impulsivity. Neuropsychopharmacology. 48(12). 1821–1831. 7 indexed citations
3.
Wenzel, Jennifer M., Erik B. Oleson, Anthony B. Cole, et al.. (2018). Phasic Dopamine Signals in the Nucleus Accumbens that Cause Active Avoidance Require Endocannabinoid Mobilization in the Midbrain. Current Biology. 28(9). 1392–1404.e5. 69 indexed citations
4.
Wenzel, Jennifer M. & Joseph F. Cheer. (2017). Endocannabinoid Regulation of Reward and Reinforcement through Interaction with Dopamine and Endogenous Opioid Signaling. Neuropsychopharmacology. 43(1). 103–115. 105 indexed citations
5.
Ettenberg, Aaron, et al.. (2015). On the positive and negative affective responses to cocaine and their relation to drug self-administration in rats. Psychopharmacology. 232(13). 2363–2375. 25 indexed citations
6.
Ettenberg, Aaron, et al.. (2015). CRF antagonism within the ventral tegmental area but not the extended amygdala attenuates the anxiogenic effects of cocaine in rats. Pharmacology Biochemistry and Behavior. 138. 148–155. 4 indexed citations
7.
Covey, Dan P., Jennifer M. Wenzel, & Joseph F. Cheer. (2014). Cannabinoid modulation of drug reward and the implications of marijuana legalization. Brain Research. 1628(Pt A). 233–243. 54 indexed citations
8.
Wenzel, Jennifer M., et al.. (2014). A Role for Phasic Dopamine Release within the Nucleus Accumbens in Encoding Aversion: A Review of the Neurochemical Literature. ACS Chemical Neuroscience. 6(1). 16–26. 100 indexed citations
9.
Wenzel, Jennifer M. & Joseph F. Cheer. (2014). Endocannabinoid-Dependent Modulation of Phasic Dopamine Signaling Encodes External and Internal Reward-Predictive Cues. Frontiers in Psychiatry. 5. 118–118. 19 indexed citations
10.
11.
Wenzel, Jennifer M., et al.. (2013). The dopamine antagonist cis-flupenthixol blocks the expression of the conditioned positive but not the negative effects of cocaine in rats. Pharmacology Biochemistry and Behavior. 114-115. 90–96. 6 indexed citations
12.
13.
Su, Zu‐In, Gleb Kichaev, Jennifer M. Wenzel, Osnat Ben‐Shahar, & Aaron Ettenberg. (2011). Weakening of negative relative to positive associations with cocaine-paired cues contributes to cue-induced responding after drug removal. Pharmacology Biochemistry and Behavior. 100(3). 458–463. 5 indexed citations
14.
15.
Thiel, Kenneth J., et al.. (2010). Stimulation of dopamine D2/D3 but not D1 receptors in the central amygdala decreases cocaine-seeking behavior. Behavioural Brain Research. 214(2). 386–394. 22 indexed citations
16.
Perwitz, Nina, Jennifer M. Wenzel, Isabel Viola Wagner, et al.. (2009). Cannabinoid type 1 receptor blockade induces transdifferentiation towards a brown fat phenotype in white adipocytes. Diabetes Obesity and Metabolism. 12(2). 158–166. 82 indexed citations
17.
Sanzenbacher, Ralf, Bernd Thiede, Jennifer M. Wenzel, et al.. (2002). Identification of interaction partners of the cytosolic polyproline region of CD95 ligand (CD178)1. FEBS Letters. 519(1-3). 50–58. 45 indexed citations
18.
Stumm, Gabi, et al.. (2001). Early and late morphological effects of experimental HPNS animal model of psychosis?. Experimental and Toxicologic Pathology. 53(1). 45–56. 2 indexed citations
19.
Wenzel, Jennifer M., Ralf Sanzenbacher, Marc Lewitzky, et al.. (2001). Multiple interactions of the cytosolic polyproline region of the CD95 ligand: hints for the reverse signal transduction capacity of a death factor1. FEBS Letters. 509(2). 255–262. 46 indexed citations
20.
Basner, Mathias, et al.. (2000). The first night effect: An investigation on normal subjects in thirteen consecutive nights. Journal of Reproductive Immunology. 41(1-2). 81–93. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Eva Drews Breakdown of academic impact, for papers by Constanza García‐Keller Breakdown of academic impact, for papers by Csaba Ádori Breakdown of academic impact, for papers by Alice Borella Breakdown of academic impact, for papers by Pernilla Grillner Breakdown of academic impact, for papers by Mireille Daigle Breakdown of academic impact, for papers by Daniel F. Manvich Breakdown of academic impact, for papers by Hongshi Qi Breakdown of academic impact, for papers by Oliver H Miller Breakdown of academic impact, for papers by Laurent Tritschler
Rankless by CCL
2026